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Background
Self-regulation (SR) as the ability to regulate one's own physical state, emotions, cognitions, and behavior, is considered to play a pivotal role in the concurrent and subsequent mental and physical health of an individual. Although SR skills encompass numerous sub-facets, previous research has often focused on only one or a few of these sub-facets, and only rarely on adolescence. Therefore, little is known about the development of the sub-facets, their interplay, and their specific contributions to future developmental outcomes, particularly in adolescence. To fill these research gaps, this study aims to prospectively examine (1) the development of SR and (2) their influence on adolescent-specific developmental outcomes in a large community sample.
Methods/design
Based on previously collected data from the Potsdam Intrapersonal Developmental Risk (PIER) study with three measurement points, the present prospective, longitudinal study aims to add a fourth measurement point (PIERYOUTH). We aim to retain at least 1074 participants now between 16 and 23 years of the initially 1657 participants (6-11 years of age at the first measurement point in 2012/2013; 52.2% female). The study will continue to follow a multi-method (questionnaires, physiological assessments, performance-based computer tasks), multi-facet (assessing various domains of SR), and multi-rater (self-, parent-, and teacher-report) approach. In addition, a broad range of adolescent-specific developmental outcomes is considered. In doing so, we will cover the development of SR and relevant outcomes over the period of 10 years. In addition, we intend to conduct a fifth measurement point (given prolonged funding) to investigate development up to young adulthood.
Discussion
With its broad and multimethodological approach, PIERYOUTH aims to contribute to a deeper understanding of the development and role of various SR sub-facets from middle childhood to adolescence. The large sample size and low drop-out rates in the first three measurements points form a sound database for our present prospective research.Trial registration German Clinical Trials Register, registration number DRKS00030847.
Justice structures societies and social relations of any kind; its psychological integration provides a fundamental cornerstone for social, moral, and personality development. The trait justice sensitivity captures individual differences in responses toward perceived injustice (JS; Schmitt et al., 2005, 2010). JS has shown substantial relations to social and moral behavior in adult and adolescent samples; however, it was not yet investigated in middle childhood despite this being a sensitive phase for personality development. JS differentiates in underlying perspectives that are either more self- or other-oriented regarding injustice, with diverging outcome relations. The present research project investigated JS and its perspectives in children aged 6 to 12 years with a special focus on variables of social and moral development as potential correlates and outcomes in four cross-sectional studies. Study 1 started with a closer investigation of JS trait manifestation, measurement, and relations to important variables from the nomological network, such as temperamental dimensions, social-cognitive skills, and global pro- and antisocial behavior in a pilot sample of children from south Germany. Study 2 investigated relations between JS and distributive behavior following distributive principles in a large-scale data set of children from Berlin and Brandenburg. Study 3 explored the relations of JS with moral reasoning, moral emotions, and moral identity as important precursors of moral development in the same large-scale data set. Study 4 investigated punishment motivation to even out, prevent, or compensate norm transgressions in a subsample, whereby JS was considered as a potential predictor of different punishment motives. All studies indicated that a large-scale, economic measurement of JS is possible at least from middle childhood onward. JS showed relations to temperamental dimensions, social skills, global social behavior; distributive decisions and preferences for distributive principles; moral reasoning, emotions, and identity; as well as with punishment motivation; indicating that trait JS is highly relevant for social and moral development. The underlying self- or other-oriented perspectives showed diverging correlate and outcome relations mostly in line with theory and previous findings from adolescent and adult samples, but also provided new theoretical ideas on the construct and its differentiation. Findings point to an early internal justice motive underlying trait JS, but additional motivations underlying the JS perspectives. Caregivers, educators, and clinical psychologists should pay attention to children’s JS and toward promoting an adaptive justice-related personality development to foster children’s prosocial and moral development as well as their mental health.
Intuitively, strongly constraining contexts should lead to stronger probabilistic representations of sentences in memory. Encountering unexpected words could therefore be expected to trigger costlier shifts in these representations than expected words. However, psycholinguistic measures commonly used to study probabilistic processing, such as the N400 event-related potential (ERP) component, are sensitive to word predictability but not to contextual constraint. Some research suggests that constraint-related processing cost may be measurable via an ERP positivity following the N400, known as the anterior post-N400 positivity (PNP). The PNP is argued to reflect update of a sentence representation and to be distinct from the posterior P600, which reflects conflict detection and reanalysis. However, constraint-related PNP findings are inconsistent. We sought to conceptually replicate Federmeier et al. (2007) and Kuperberg et al. (2020), who observed that the PNP, but not the N400 or the P600, was affected by constraint at unexpected but plausible words. Using a pre-registered design and statistical approach maximising power, we demonstrated a dissociated effect of predictability and constraint: strong evidence for predictability but not constraint in the N400 window, and strong evidence for constraint but not predictability in the later window. However, the constraint effect was consistent with a P600 and not a PNP, suggesting increased conflict between a strong representation and unexpected input rather than greater update of the representation. We conclude that either a simple strong/weak constraint design is not always sufficient to elicit the PNP, or that previous PNP constraint findings could be an artifact of smaller sample size.
Visual perception is a complex and dynamic process that plays a crucial role in how we perceive and interact with the world. The eyes move in a sequence of saccades and fixations, actively modulating perception by moving different parts of the visual world into focus. Eye movement behavior can therefore offer rich insights into the underlying cognitive mechanisms and decision processes. Computational models in combination with a rigorous statistical framework are critical for advancing our understanding in this field, facilitating the testing of theory-driven predictions and accounting for observed data. In this thesis, I investigate eye movement behavior through the development of two mechanistic, generative, and theory-driven models. The first model is based on experimental research regarding the distribution of attention, particularly around the time of a saccade, and explains statistical characteristics of scan paths. The second model implements a self-avoiding random walk within a confining potential to represent the microscopic fixational drift, which is present even while the eye is at rest, and investigates the relationship to microsaccades. Both models are implemented in a likelihood-based framework, which supports the use of data assimilation methods to perform Bayesian parameter inference at the level of individual participants, analyses of the marginal posteriors of the interpretable parameters, model comparisons, and posterior predictive checks. The application of these methods enables a thorough investigation of individual variability in the space of parameters. Results show that dynamical modeling and the data assimilation framework are highly suitable for eye movement research and, more generally, for cognitive modeling.
Krankheitsängste in verschiedenen Populationen und die Effektivität ambulanter Verhaltenstheraphie
(2023)
Introduction:
Decision making results not only from logical analyses, but seems to be further guided by the ability to perceive somatic information (interoceptive accuracy). Relations between interoceptive accuracy and decision making have been exclusively studied in adults and with regard to complex, uncertain situations (as measured by the Iowa Gambling Task, IGT).
Methods:
In the present study, 1454 children (6-11 years) were examined at two time points (approximately 1 year apart) using an IGT as well as a delay-of-gratification task for sweets-items and toy-items. Interoceptive accuracy was measured using a child-adapted version of the Heartbeat Perception Task.
Results:
The present results revealed that children with higher, as compared to lower, interoceptive accuracy showed more advantageous choices in the IGT and delayed more sweets-items, but not toy-items, in a delay-of-gratification task at time point 2 but not at time point 1. However, no longitudinal relation between interoceptive accuracy and decision making 1 year later could be shown.
Discussion:
Results indicate that interoceptive accuracy relates to decision-making abilities in situations of varying complexity already in middle childhood, and that this link might consolidate across the examined 1-year period. Furthermore, the association of interoceptive accuracy and the delay of sweets-items might have implications for the regulation of body weight at a later age.
Perception of peripersonal space (PPS) and interpersonal distance (IPD) has been shown to be modified by external factors such as perceived danger, the use of tools, and social factors. Especially in times of social distancing in the context of the COVID-19 pandemic, it is vital to study factors that modify PPS and IPD. The present work addresses the question of whether wearing a face mask as a protection tool and social interaction impact the perception of IPD. We tested estimated IPD in pictures at three distances: 50 cm, 90 cm, and 150 cm in both social interaction (shaking hands) and without interaction and when the two people in the pictures wore a face mask or not. Data from 60 subjects were analyzed in a linear mixed model (on both difference in distance estimation to the depicted distance and in absolute distance estimation) and in a 3 (distance: 50, 90, 150) x 2 (interaction: no interaction, shake hands), x 2 face mask (no mask, mask) rmANOVA on distance estimation difference. All analyses showed that at a distance of 50 and 90 cm, participants generally underestimated the IPD while at an IPD of 150 cm, participants overestimated the distance. This could be grounded in perceived danger and avoidance behavior at closer distances, while the wider distance between persons was not perceived as dangerous. Our findings at an IPD of 90 cm show that social interaction has the largest effect at the border of our PPS, while the face mask did not affect social interaction at either distance. In addition, the ANOVA results indicate that when no social interaction was displayed, participants felt less unsafe when depicted persons wore a face mask at distances of 90 and 150 cm. This shows that participants are on the one hand aware of the given safety measures and internalized them; on the other hand, that refraining from physical social interaction helps to get close to other persons.
The purpose of this thesis was to investigate the developmental dynamics between interest, motivation, and learning strategy use during physics learning. The target population was lower secondary school students from a developing country, given that there is hardly in research that studies the above domain-specific concepts in the context of developing countries. The aim was addressed in four parts.
The first part of the study was guided by three objectives: (a) to adapt and validate the Science Motivation Questionnaire (SMQ-II) for the Ugandan context; (b) to examine whether there are significant differences in motivation for learning Physics with respect to students’ gender; and (c) to establish the extent to which students’ interest predicts their motivation to learn Physics. Being a pilot study, the sample comprised 374 randomly selected students from five schools in central Uganda who responded to anonymous questionnaires that included scales from the SMQ-II and the Individual Interest Questionnaire. Data were analysed using confirmatory factor analyses, t-tests and structural equation modelling in SPSS-25 and Mplus-8. The five-factor model solution of the SMQ-II fitted adequately with the study data, with deletion of one item. The modified SMQ-II exhibited invariant factor loadings and intercepts (i.e., strong measurement invariance) when administered to boys and girls. Furthermore, on assessing whether motivation for learning Physics varied with gender, no significant differences were noted. On assessing the predictive effects of individual interest on students’ motivation, individual interest significantly predicted all motivational constructs, with stronger predictive strength on students’ self-efficacy and self-determination in learning Physics.
In the second part whilst using comprised 934 Grade 9 students from eight secondary schools in Uganda, Latent profile analysis (LPA) - a person-centred approach was used to investigate motivation patterns that exist in lower secondary school students during physics learning. A three-step approach to LPA was used to answer three research questions: RQ1, which profiles of secondary school students exist with regards to their motivation for Physics learning; RQ2, are there differences in students’ cognitive learning strategies in the identified profiles; and RQ3, does students’ gender, attitudes, and individual interest predict membership in these profiles? Six motivational profiles were identified: (i) low-quantity motivation profile (101 students; 10.8%); (ii) moderate-quantity motivation profile (246 students; 26.3%); (iii) high-quantity motivation profile (365 students; 39.1%); (iv) primarily intrinsically motivated profile (60 students,6.4%); (v) mostly extrinsically motivated profile (88 students, 9.4%); and (vi) grade-introjected profile (74 students, 7.9%). Low-quantity and grade introjected motivated students mostly used surface learning strategies whilst the high-quantity and primarily intrinsically motivated students used deep learning strategies. On examining the predictive effect of gender, individual interest, and students’ attitudes on the profile membership, unlike gender, individual interest and students’ attitudes towards Physics learning strongly predicted profile membership.
In the third part of the study, the occurrence of different secondary school learner profiles depending on their various combinations of cognitive and metacognitive learning strategy use, as well as their differences in perceived autonomy support, intrinsic motivation, and gender was examined. Data were collected from 576 9th grade student. Four learner profiles were identified: competent strategy user, struggling user, surface-level learner, and deep-level learner profiles. Gender differences were noted in students’ use of elaboration and organization strategies to learn Physics, in favour of girls. In terms of profile memberships, significant differences in gender, intrinsic motivation and perceived autonomy support were also noted. Girls were 2.4 - 2.7 times more likely than boys to be members of the competent strategy user and surface-level learner profiles. Additionally, higher levels of intrinsic motivation predicted an increased likelihood membership into the deep-level learner profile, whilst higher levels of perceived teacher autonomy predicted an increased likelihood membership into the competent strategy user profile as compared to other profiles.
Lastly, in the fourth part, changes in secondary school students’ physics motivation and cognitive learning strategies use during physics learning across time were examined. Two waves of data were collected from initially 954 9th students through to their 10th grade. A three-step approach to Latent transition analysis was used. Generally, students’ motivation decreased from 9th to 10th grade. Qualitative students’ motivation profiles indicated strong with-in person stability whilst the quantitative profiles were relatively less stable. Mostly, students moved from the high quantity motivation profile to the extrinsically motivated profiles. On the other hand, the cognitive learning strategies use profiles were moderately stable; with higher with-in person stability in the deep-level learner profile. None of the struggling users and surface-level learners transitioned into the deep-level learners’ profile. Additionally, students who perceived increased support for autonomy from their teachers had higher membership likelihood into the competent users’ profiles whilst those with an increase in individual interest score had higher membership likelihood into the deep-level learner profile.
Mit Blick auf den Schuldienst existieren viele Studien zur Arbeitsbelastung und Arbeitsbeanspruchung von Lehrkräften. Bereits die Praxisphasen im Lehramtsstudium sind geprägt von zahlreichen Anforderungen für Lehramtsanwärter:innen, weshalb Wissen und Kenntnisse um eigene Ressourcen eine erhebliche Bedeutung für die Ressourcennutzung zur Bewältigung der Anforderungen und zur Gesunderhaltung darstellen. Der vorliegende Beitrag stellt den Gesundheitsbegriff sowie die theoretischen Grundlagen der Ressourcen zur Gesundheitsförderung anhand repräsentativer Studien innerhalb sowie außerhalb des Potsdamer Praxissemesters vor. Insbesondere wird sich den Anforderungen im Praxissemester, die durch die Corona-Pandemie geprägt waren, gewidmet. Ziel ist es, angehenden Lehrkräften die wichtigsten Methoden bzw. Strategien der Gesundheitsförderung zu vermitteln und sie damit zur Stärkung ihrer eigenen Gesundheit auch in Zeiten erhöhter Belastung bzw. in Krisenzeiten zu befähigen. Erste empirische Ergebnisse aus einer qualitativen Erhebung zeigen, dass die Teilnehmenden in Bezug auf innere Ressourcen die zentrale Rolle von produktiven Überzeugungssystemen und produktiven Bewältigungsstrategien betonen. Ein Mentoringprogramm, angelegt analog zur Potsdamer AG der Mentor:innenqualifzierung, könnte dazu dienen, inhaltliche Eckpunkte zur Gesundheitsförderung im Unterricht des Praxissemesters zu verankern und angehende Lehrkräfte zu begleiten.
Teacher self-efficacy is highly relevant for effective teaching, student academic development, and teachers’ wellbeing, as theoretical work (Bandura, 1997; Tschannen-Moran et al., 1998) and empirical studies (i.e., Burić & Kim, 2020; Klassen & Chiu, 2010; van Uden et al., 2013) have shown associations with effective classroom management, student support, student motivation, and teachers’ job satisfaction. Given the importance of teacher self-efficacy for teaching and learning, it is interesting to note that existing research is limited in several aspects – first, longitudinal studies on the relations between teacher self-efficacy and student academic outcomes are widely missing; second, empirical studies often assess teacher self-efficacy as a one-dimensional construct, neglecting its multidimensional character; third, studies often only focus on either the students’ or the teachers’ perspective on teaching and thus do not include simultaneously multiple sources of information on teaching practices as a consequence of teacher self-efficacy; fourth, research often does not systematically consider the effects of teacher self-efficacy on students’ academic outcomes at both the group and individual level. Against this backdrop, this dissertation presents three longitudinal studies that aim to contribute to a more detailed perspective on teacher self-efficacy by examining systematically and longitudinally the relations between multiple dimensions of teacher self-efficacy and theoretically aligned teaching quality facets as perceived by teachers and students, as well as their relations to students’ motivational-affective outcomes – more concretely, their relations to students’ interest, enjoyment, and self-efficacy in a multi-level analysis approach. Study 1 examines the longitudinal relations between teacher self-efficacy for classroom management and student-perceived monitoring and social relatedness, and investigates whether the two student-reported teaching dimensions explain the relations between teacher self-efficacy for classroom management and student enjoyment using multi-level analyses. Study 2 examines longitudinally how teacher self-efficacy for student engagement relates to student interest through student- and teacher-perceived emotional support. Also, including student and teacher perspectives on teaching, Study 3 examines the longitudinal relations between specific facets of teacher self-efficacy for classroom management and classroom discipline, teacher self-efficacy for instructional strategies and cognitive activation, teacher self-efficacy for student engagement and competence support, teacher self-efficacy for emotional support and social relatedness, as well as teacher self-efficacy for student-oriented teaching and learning goal-oriented instruction with students’ enjoyment and self-efficacy. Furthermore, in Studies 2 and 3 the cross-level mediation effects of longitudinal relations with teacher self-efficacy on student motivational-affective characteristics via teaching practices are examined in order to address the lack of empirical studies disentangling the relations for specifically individual- vs. group-level effects. The limitations and implications are discussed in terms of their theoretical and practical relevance for school practice, teacher education, and teacher training.